ZikkaronSAFE
Biologically-inspired persistent memory engine for Claude Code. 26 cognitive subsystems, Hopfield networks, predictive coding, causal discovery, successor representations, all running locally over SQLite.
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
[](https://pypi.org/project/zikkaron/) [](https://www.python.org/downloads/) [](#testing) [](LICENSE)
Zikkaron (זיכרון) is Hebrew for "memory."
Your AI forgets you every time you close the tab. Every architecture decision you explained, every debugging rabbit hole you went down together, every "remember, we're using Postgres not SQLite" correction. Gone. You start the next session a stranger to your own tools.
Zikkaron is a persistent memory engine for Claude Code built on computational neuroscience. It remembers what you worked on, how you think, what you decided and why. Not as a dumb text dump that gets shoved into context, but as a living memory system that consolidates, forgets intelligently, and reconstructs the right context at the right time.
26 subsystems. 24 MCP tools. Runs entirely on your machine. One SQLite file.
Two minutes to never repeat yourself again
pip install zikkaron
Add to your Claude Code config:
{
"mcpServers": {
"zikkaron": {
"command": "zikkaron"
}
}
}Tell Claude how to use it. Drop this in your global ~/.claude/CLAUDE.md (your home directory, not per-project):
## Memory - On every new session, call `recall` with the current project name - Before starting any task, call `get_project_context` for the current directory - After completing significant work, call `remember` to store decisions and outcomes
Or just let Zikkaron handle it. On every startup, it automatically syncs ~/.claude/CLAUDE.md with the latest instructions via sync_instructions. You set it up once and never think about it again.
What this actually feels like
Monday. You spend an hour debug
cf78d0c2200dOBSERVED · 2026-10-07Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control. Replace the environment placeholders with a token scoped to the least it needs.
claude mcp add zikkaron -- None zikkaron==1.4.0
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- declared (3 observation(s))
- Shell
- none-observed
- Dependencies
- not all pinned
- Secrets in source
- none-found
Findings (5)
"url": "http://127.0.0.1:8742/sse"
"Δoverall | Δopen | Max drop | Overall 95% CI | Open 95% CI | Win/Loss/Tie (overall) | Target |\n"
"| Run | overall MRR | open_domain MRR | Δoverall vs combined | Δopen vs combined |\n"
fastapi, sse-starlette, uvicorn, mcp, sentence-transformers, watchdog, pydantic, pydantic-settings
Gates applied: no_behavioural_pass.
cf78d0c2200dfull audit observations/trust-audit/mcp-server/amanhij__zikkaron.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | cf78d0c2200d | SAFE | B | 89 | first audit |
Questions
What is the Zikkaron MCP server?
Biologically-inspired persistent memory engine for Claude Code. 26 cognitive subsystems, Hopfield networks, predictive coding, causal discovery, successor representations, all running locally over SQLite.
Is Zikkaron safe to connect to an agent?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B.
What credentials does Zikkaron need?
It reads GEMINI_API_KEY and GOOGLE_API_KEY from the environment. Give it a token scoped to the least it needs — an agent that can be talked into calling a tool can be talked into calling it with your credentials.
How does Zikkaron run?
It speaks stdio and streamable-http, so it runs as a local process your client starts. It is published on PyPI as zikkaron.
How current is this page?
The grade is for one exact copy of the source (cf78d0c2200d), read on 2026-10-07. The repository is watched and re-audited when it changes.